Create app.py

app.py

@@ -0,0 +1,46 @@
+from transformers import pipeline
+import streamlit as st
+
+# Load the Gemma-7b text-generation pipeline
+generator = pipeline("text-generation", model="google/gemma-7b")
+
+st.title("Project Prompt Generator")
+
+# User input fields
+topic = st.text_input("Enter a project topic:")
+keywords = st.multiselect("Choose relevant keywords:", ["sustainability", "data analysis", "education", "technology"], default=[])
+
+# Generate prompts button
+if st.button("Generate Prompts"):
+  prompts = generate_prompts(topic, keywords)
+
+  # Display generated prompts
+  st.subheader("Generated Prompts:")
+  for prompt in prompts:
+    st.write(f"* {prompt}")
+
+# Function to generate project prompts
+def generate_prompts(topic, keywords):
+  """
+  Generates project prompts based on user input.
+
+  Args:
+      topic: The main theme or area of the project.
+      keywords: A list of relevant keywords chosen by the user.
+
+  Returns:
+      A list of generated project prompts.
+  """
+  prompts = []
+  for _ in range(3):  # Generate 3 prompts
+    prompt = generator(
+        prompt=f"Generate a project prompt related to {topic} using the keywords {', '.join(keywords)}.",
+        max_length=150,
+        num_return_sequences=1
+    )[0]["generated_text"]
+    prompts.append(prompt)
+  return prompts
+
+# Run the app
+if __name__ == "__main__":
+  st.run()