Create app.py

app.py

@@ -0,0 +1,77 @@
+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)