Deploy

app.py

@@ -0,0 +1,58 @@
+import streamlit as st
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/ProsusAI/finbert"
+headers = {"Authorization": "Bearer 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"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+def display_chat_history(chat_history):
+    for entry in chat_history:
+        if entry["speaker"] == "You":
+            st.text(f"You: {entry['message']}")
+        elif entry["speaker"] == "Chatbot":
+            st.text(f"Chatbot:")
+            
+            for label_info in entry['message'][0]:
+                st.write(f"Label: {label_info['label']}, Score: {label_info['score']}")
+
+
+def display_bot_response(bot_response):
+    st.write("Bot Response:")
+    for label_info in bot_response[0]:
+        st.write(f"Label: {label_info['label']}, Score: {label_info['score']}")
+
+def main():
+    st.title("Chatbot Interface")
+
+    # Initialize chat history
+    chat_history = st.session_state.get("chat_history", [])
+
+    # Input box for user to type messages
+    user_input = st.text_input("Type your message here:")
+
+    if st.button("Send"):
+        if user_input:
+            # Make an API call to get the chatbot's response
+            bot_response = query({
+                "inputs": user_input,
+            })
+
+            # Update the chat history
+            chat_history.append({"speaker": "You", "message": user_input})
+            chat_history.append({"speaker": "Chatbot", "message": bot_response})
+
+            # Save the chat history in session state
+            st.session_state.chat_history = chat_history
+
+    # Display the chat history
+    display_chat_history(chat_history)
+
+    # Display the bot response if available
+    # if chat_history and chat_history[-1]["speaker"] == "Chatbot":
+    #     display_bot_response(chat_history[-1]["message"])
+
+if __name__ == "__main__":
+    main()