Delete app.py

app.py

@@ -1,77 +0,0 @@
-import streamlit as st
-from huggingface_hub import InferenceClient
-
-"""
-Developed by Hashir Ehtisham
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-        response += token
-
-    return response
-
-def send_message():
-    message = st.session_state["new_message"]
-    if message:
-        st.session_state.history.append((message, ""))
-        response = respond(
-            message=message,
-            history=st.session_state.history,
-            system_message=st.session_state.system_message,
-            max_tokens=st.session_state.max_tokens,
-            temperature=st.session_state.temperature,
-            top_p=st.session_state.top_p,
-        )
-        st.session_state.history[-1] = (message, response)
-        st.session_state["new_message"] = ""
-
-# Streamlit UI
-st.title("Emotional Support Chatbot")
-st.write("Hello! I'm here to support you emotionally and answer any questions. How are you feeling today?")
-
-system_message = st.text_input("System message", value="You are a friendly Emotional Support Chatbot.", key="system_message")
-
-with st.expander("Settings"):
-    max_tokens_options = [64, 128, 256, 512, 1024, 2048]
-    temperature_options = [0.1, 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 3.0, 4.0]
-    top_p_options = [0.1, 0.2, 0.3, 0.5, 0.7, 0.8, 0.9, 0.95, 1.0]
-
-    max_tokens = st.selectbox("Max new tokens", options=max_tokens_options, index=max_tokens_options.index(512), key="max_tokens")
-    temperature = st.selectbox("Temperature", options=temperature_options, index=temperature_options.index(0.7), key="temperature")
-    top_p = st.selectbox("Top-p (nucleus sampling)", options=top_p_options, index=top_p_options.index(0.95), key="top_p")
-
-if 'history' not in st.session_state:
-    st.session_state.history = []
-
-# Display chat history above the message input
-st.text_area("Chat History", value="\n".join([f"User: {h[0]}\nBot: {h[1]}" for h in st.session_state.history]), height=400, key="chat_history")
-
-message = st.text_input("Your message", key="new_message", on_change=send_message)