Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+from diffusers import DiffusionPipeline
+import torch
+import time
+
+# Load models
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-dra-en")
+summarizer = pipeline("summarization", model="Falconsai/text_summarization")
+image_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to("cuda")
+
+# Functions for each task
+def translate_tamil_to_english(text):
+    time.sleep(2)
+    result = translator(text)
+    return result[0]['translation_text']
+
+def summarize_english_text(paragraph):
+    time.sleep(2)
+    summary = summarizer(paragraph, max_length=100, min_length=25, do_sample=False)
+    return summary[0]['summary_text']
+
+def english_text_to_image(text):
+    image = image_pipe(text).images[0]
+    return image
+
+# Custom CSS
+st.markdown("""
+    <style>
+        /* Background color */
+        body {
+            background-color: #f0f0f5;
+        }
+
+        /* Text color and font */
+        .stApp {
+            font-family: 'Arial', sans-serif;
+            color: #333;
+        }
+
+        /* Titles and subtitles styling */
+        h1 {
+            color: #2E8B57;
+            text-align: center;
+            text-shadow: 2px 2px 5px #aaaaaa;
+        }
+
+        h2, h3 {
+            color: #4682B4;
+            text-shadow: 1px 1px 3px #aaaaaa;
+        }
+
+        /* Background texture */
+        .stApp {
+            background: linear-gradient(to bottom right, #fff7e6, #e6f7ff);
+        }
+
+        /* Button styling */
+        button[kind="primary"] {
+            background-color: #4682B4;
+            color: white;
+            border-radius: 8px;
+            padding: 0.5rem 1rem;
+        }
+
+        button[kind="primary"]:hover {
+            background-color: #5b9bd5;
+        }
+
+        /* Text area and input field styling */
+        textarea, input {
+            border-radius: 10px;
+            padding: 1rem;
+            border: 2px solid #ccc;
+            background-color: #f9f9f9;
+        }
+
+        /* Styling the output boxes */
+        .stMarkdown {
+            background-color: #e6f9ff;
+            padding: 1rem;
+            border-radius: 10px;
+            box-shadow: 2px 2px 10px #ccc;
+        }
+    </style>
+    """, unsafe_allow_html=True)
+
+# Streamlit app layout
+st.title("🌟 Multifunctional AI Application 🌟")
+
+# Row 1: Tamil to English translation
+st.subheader("🌐 Translate Tamil to English")
+tamil_input = st.text_area("Enter Tamil text", "")
+if st.button("Translate"):
+    english_output = translate_tamil_to_english(tamil_input)
+    st.markdown(f"**Translated English Text**: {english_output}")
+
+# Row 2: English paragraph summarization
+st.subheader("📝 Summarize English Paragraph")
+english_paragraph = st.text_area("Enter English paragraph", "")
+if st.button("Summarize"):
+    summary_output = summarize_english_text(english_paragraph)
+    st.markdown(f"**Summary**: {summary_output}")
+
+# Row 3: English text to image generation
+st.subheader("🎨 Generate Image from English Text")
+image_text = st.text_input("Enter description for image generation", "")
+if st.button("Generate Image"):
+    generated_image = english_text_to_image(image_text)
+    st.image(generated_image, caption="Generated Image")
+