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from flask import Flask, render_template, request, jsonify | |
from gradio_client import Client | |
app = Flask(__name__) | |
# Initialize Gradio Client once for efficiency | |
try: | |
client = Client("Gopikanth123/llama2") # Replace with your Gradio model URL | |
except Exception as e: | |
print(f"Error initializing Gradio client: {str(e)}") | |
client = None | |
# Function to fetch the response from Gradio model | |
def generate_response(query): | |
if client is None: | |
return "Model is unavailable at the moment. Please try again later." | |
try: | |
result = client.predict(query=query, api_name="/predict") | |
return result | |
except Exception as e: | |
return f"Error fetching the response: {str(e)}" | |
# Route for the homepage | |
def index(): | |
return render_template('index.html') | |
# Route to handle chatbot messages | |
def chat(): | |
try: | |
user_message = request.json.get("message") | |
if not user_message: | |
return jsonify({"response": "Please say something!"}) | |
bot_response = generate_response(user_message) | |
return jsonify({"response": bot_response}) | |
except Exception as e: | |
return jsonify({"response": f"An error occurred: {str(e)}"}) | |
if __name__ == '__main__': | |
app.run(debug=True) | |