Most Basic Verion

app.py

@@ -1,4 +1,81 @@
 import streamlit as st
+import random
+import time
 
-x = st.slider('Select a value')
-st.write(x, 'raised to the power of 3 is', x * x * x)
+st.header(" VERIFYING SCIENTIFIC CLAIMS ")
+
+st.caption("Version 0.1")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = [{"role": "assistant", "content": "Let's start verifying the claims here! 👇"}]
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+def retriever(query: str):
+    """Simulate a 'retriever' step, searching for relevant information."""
+    with st.chat_message("assistant"):
+        placeholder = st.empty()
+        text=""
+        message = "Retriving the documents related to the claim..."
+        for chunk in message.split():
+            text += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            placeholder.markdown(text + "▌")
+        placeholder.markdown(text)
+    # You could return retrieved info here.
+    return message
+
+def reasoner(info: str):
+    """Simulate a 'reasoner' step, thinking about how to answer."""
+    with st.chat_message("assistant"):
+        placeholder = st.empty()
+        text=""
+        message = "Reasoning and verifying the claim..."
+        for chunk in message.split():
+            text += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            placeholder.markdown(text + "▌")
+        placeholder.markdown(text)
+    # You could return reasoning info here.
+    return message
+
+# Accept user input
+if prompt := st.chat_input("40mg/day dosage of folic acid and 2mg/day dosage of vitamin B12 does not affect chronic kidney disease (CKD) progression."):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    #Calling retriever
+    retriever(prompt)
+
+    #Calling reasoner
+    reasoner(prompt)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        assistant_response = random.choice(
+            [
+                "The claim is correct.",
+                "The claim is incorrect.",
+            ]
+        )
+
+        # Simulate stream of response with milliseconds delay
+        for chunk in assistant_response.split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": full_response})