Create app.py

app.py

@@ -0,0 +1,38 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the Hugging Face model for text generation
+model = pipeline("text-generation")
+
+# Streamlit app
+def main():
+    st.title("Cherry Bot")
+    st.markdown("*Your Sweetest Companion*")
+
+    # Maintain a list to store text inputs for each chat
+    chat_inputs = []
+
+    # Add a sidebar to the app
+    with st.sidebar:
+        st.markdown("# Text Generation Settings")
+        # Slider for adjusting the maximum length of generated text
+        max_length = st.slider("Max Length of Generated Text:", min_value=10, max_value=200, value=50, step=10)
+
+        # Add a "New Chat" button
+        if st.button("New Chat"):
+            chat_inputs.append(st.text_area(f"Enter starting text for Chat {len(chat_inputs) + 1}:", height=100))
+
+    # Perform text generation for each chat
+    for idx, starting_text in enumerate(chat_inputs):
+        st.header(f"Chat {idx + 1}")
+        if st.button(f"Generate Text for Chat {idx + 1}"):
+            if starting_text:
+                # Generate text using the loaded model
+                generated_text = model(starting_text, max_length=max_length)[0]['generated_text']
+
+                # Display the generated text
+                st.write("Generated Text:")
+                st.write(generated_text)
+
+if __name__ == "__main__":
+    main()