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ProPerNounpYK commited on
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1 Parent(s): bb9efa8

Update app.py

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  1. app.py +86 -53
app.py CHANGED
@@ -1,64 +1,97 @@
1
- import gradio as gr
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- from huggingface_hub import InferenceClient
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-
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
8
 
 
9
 
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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20
- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
 
 
 
 
 
 
 
 
 
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- messages.append({"role": "user", "content": message})
 
 
 
 
 
27
 
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- response = ""
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
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- response += token
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- yield response
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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-
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 
 
 
 
 
 
 
 
 
 
 
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  """
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- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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- ],
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- )
61
 
 
 
 
62
 
63
- if __name__ == "__main__":
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- demo.launch()
 
1
+ from flask import Flask, request, jsonify, render_template_string
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+ from datetime import datetime
 
 
 
 
 
3
 
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+ app = Flask(__name__)
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+ # Mock database
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+ posts = []
 
 
 
 
 
 
 
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+ # API to post an item
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+ @app.route('/api/post', methods=['POST'])
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+ def create_post():
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+ data = request.json
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+ post = {
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+ "id": len(posts) + 1,
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+ "title": data.get("title"),
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+ "description": data.get("description"),
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+ "price": data.get("price"),
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+ "location": data.get("location"),
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+ "timestamp": datetime.utcnow().isoformat()
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+ }
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+ posts.append(post)
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+ return jsonify({"success": True, "post": post}), 201
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+ # API to get posts by location
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+ @app.route('/api/posts', methods=['GET'])
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+ def get_posts():
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+ location = request.args.get("location", "").lower()
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+ filtered = [p for p in posts if location in p["location"].lower()]
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+ return jsonify({"posts": filtered})
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+ # HTML frontend
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+ html_template = """
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+ <!DOCTYPE html>
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+ <html lang="th">
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+ <head>
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+ <meta charset="UTF-8">
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+ <title>ตลาดข้างบ้าน</title>
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+ </head>
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+ <body>
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+ <h2>📦 ลงขายของ</h2>
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+ <form id="postForm">
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+ <label>ชื่อสินค้า:</label><br>
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+ <input type="text" id="title"><br>
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+ <label>รายละเอียด:</label><br>
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+ <input type="text" id="description"><br>
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+ <label>ราคา (บาท):</label><br>
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+ <input type="number" id="price"><br>
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+ <label>สถานที่ (เช่น หอ A):</label><br>
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+ <input type="text" id="location"><br><br>
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+ <button type="submit">โพสต์เลย</button>
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+ </form>
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+ <h2>🔍 ค้นหาของใกล้คุณ</h2>
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+ <input type="text" id="searchLocation" placeholder="ใส่ชื่อสถานที่">
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+ <button onclick="searchPosts()">ค้นหา</button>
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+ <div id="results"></div>
 
 
 
 
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58
+ <script>
59
+ document.getElementById("postForm").onsubmit = async function(e) {
60
+ e.preventDefault();
61
+ const data = {
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+ title: document.getElementById("title").value,
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+ description: document.getElementById("description").value,
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+ price: document.getElementById("price").value,
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+ location: document.getElementById("location").value
66
+ };
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+ const res = await fetch('/api/post', {
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+ method: 'POST',
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+ headers: { 'Content-Type': 'application/json' },
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+ body: JSON.stringify(data)
71
+ });
72
+ const result = await res.json();
73
+ alert("โพสต์เรียบร้อยแล้ว!");
74
+ };
75
 
76
+ async function searchPosts() {
77
+ const location = document.getElementById("searchLocation").value;
78
+ const res = await fetch(`/api/posts?location=${location}`);
79
+ const result = await res.json();
80
+ let html = "<ul>";
81
+ result.posts.forEach(post => {
82
+ html += `<li><b>${post.title}</b> - ${post.price} บาท<br>${post.description}<br><i>${post.location}</i><hr></li>`;
83
+ });
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+ html += "</ul>";
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+ document.getElementById("results").innerHTML = html;
86
+ }
87
+ </script>
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+ </body>
89
+ </html>
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  """
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
91
 
92
+ @app.route('/')
93
+ def index():
94
+ return render_template_string(html_template)
95
 
96
+ if __name__ == '__main__':
97
+ app.run(host='0.0.0.0', port=8080)